Senior Data Engineer Experience: 8–12 Years Primary Skills: SQL Server, SSIS, Azure Data Factory, Azure Databricks, Power BI, Advanced DAX
Key Responsibilities• Develop and maintain ETL pipelines using SSIS, ADF, and Azure Databricks.
• Write complex, optimized T-SQL queries and manage data transformations.
• Design data warehouses, dimensional models, and star/snowflake schemas.
• Develop Power BI dashboards, semantic models, and advanced DAX calculations.
• Optimize DAX, report performance, datasets, and data refreshes.
• Implement data quality, validation, and auditing processes.
• Maintain and troubleshoot legacy SSIS packages.
• Collaborate with business stakeholders to deliver enterprise reporting solutions.





5 Must-Haves• Advanced SQL Server / T-SQL – 8–12 years of hands-on experience.
• SSIS + Azure Data Factory – ETL development and legacy pipeline support.
• Azure Databricks – Data processing and integration.
• Power BI + Advanced DAX – Measures, calculated columns/tables, KPIs, and time intelligence.
• Data Warehousing & Modeling – Star/snowflake schemas, semantic models, RLS, and performance optimization.

Valuable to Have: Microsoft Fabric, OneLake, Power BI Premium, SSAS Tabular, SSRS, and Azure/Power BI certifications.

📌 Senior Data Engineer (India)
🏢 MindBrain
📍 India